Knowledge representation, reasoning, and the design of intelligent agents the answer-set programming approach

Knowledge representation and reasoning is the foundation of artificial intelligence, declarative programming, and the design of knowledge-intensive software systems capable of performing intelligent tasks. Using logical and probabilistic formalisms based on answer set programming (ASP) and action la...

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1. Verfasser: Gelfond, Michael (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Cambridge Cambridge University Press 2014
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Datensatz im Suchindex

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spelling Gelfond, Michael Verfasser (DE-588)1051601088 aut
Knowledge representation, reasoning, and the design of intelligent agents the answer-set programming approach Michael Gelfond, Texas Tech University, Yulia Kahl
Knowledge Representation, Reasoning, & the Design of Intelligent Agents
Cambridge Cambridge University Press 2014
1 Online-Ressource (xiv, 348 Seiten)
txt rdacontent
c rdamedia
cr rdacarrier
Knowledge representation and reasoning is the foundation of artificial intelligence, declarative programming, and the design of knowledge-intensive software systems capable of performing intelligent tasks. Using logical and probabilistic formalisms based on answer set programming (ASP) and action languages, this book shows how knowledge-intensive systems can be given knowledge about the world and how it can be used to solve non-trivial computational problems. The authors maintain a balance between mathematical analysis and practical design of intelligent agents. All the concepts, such as answering queries, planning, diagnostics, and probabilistic reasoning, are illustrated by programs of ASP. The text can be used for AI-related undergraduate and graduate classes and by researchers who would like to learn more about ASP and knowledge representation
Intelligent agents (Computer software)
Agent Künstliche Intelligenz (DE-588)4310355-8 gnd rswk-swf
Wissensrepräsentation (DE-588)4049534-6 gnd rswk-swf
Agent Künstliche Intelligenz (DE-588)4310355-8 s
Wissensrepräsentation (DE-588)4049534-6 s
1\p DE-604
Kahl, Yulia Sonstige (DE-588)1051601177 oth
Erscheint auch als Druckausgabe 978-1-107-02956-9
https://doi.org/10.1017/CBO9781139342124 Verlag URL des Erstveröffentlichers Volltext
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spellingShingle Gelfond, Michael
Knowledge representation, reasoning, and the design of intelligent agents the answer-set programming approach
Intelligent agents (Computer software)
Agent Künstliche Intelligenz (DE-588)4310355-8 gnd
Wissensrepräsentation (DE-588)4049534-6 gnd
subject_GND (DE-588)4310355-8
(DE-588)4049534-6
title Knowledge representation, reasoning, and the design of intelligent agents the answer-set programming approach
title_alt Knowledge Representation, Reasoning, & the Design of Intelligent Agents
title_auth Knowledge representation, reasoning, and the design of intelligent agents the answer-set programming approach
title_exact_search Knowledge representation, reasoning, and the design of intelligent agents the answer-set programming approach
title_full Knowledge representation, reasoning, and the design of intelligent agents the answer-set programming approach Michael Gelfond, Texas Tech University, Yulia Kahl
title_fullStr Knowledge representation, reasoning, and the design of intelligent agents the answer-set programming approach Michael Gelfond, Texas Tech University, Yulia Kahl
title_full_unstemmed Knowledge representation, reasoning, and the design of intelligent agents the answer-set programming approach Michael Gelfond, Texas Tech University, Yulia Kahl
title_short Knowledge representation, reasoning, and the design of intelligent agents
title_sort knowledge representation reasoning and the design of intelligent agents the answer set programming approach
title_sub the answer-set programming approach
topic Intelligent agents (Computer software)
Agent Künstliche Intelligenz (DE-588)4310355-8 gnd
Wissensrepräsentation (DE-588)4049534-6 gnd
topic_facet Intelligent agents (Computer software)
Agent Künstliche Intelligenz
Wissensrepräsentation
url https://doi.org/10.1017/CBO9781139342124
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